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1 Ergebnisse
1
A Pragmatic Machine Learning Approach to Quantify Tumor-Inf..:
Nikita Shvetsov
;
Morten Grønnesby
;
Edvard Pedersen
...
https://www.mdpi.com/2072-6694/14/12/2974. , 2022
Link:
https://doi.org/10.3390/cancers14122974
RT Journal T1
A Pragmatic Machine Learning Approach to Quantify Tumor-Infiltrating Lymphocytes in Whole Slide Images
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:89cedf3e32a74a78a9623b79175398d6&Exemplar=1&LAN=DE A1 Nikita Shvetsov A1 Morten Grønnesby A1 Edvard Pedersen A1 Kajsa Møllersen A1 Lill-Tove Rasmussen Busund A1 Ruth Schwienbacher A1 Lars Ailo Bongo A1 Thomas Karsten Kilvaer PB MDPI AG YR 2022 K1 NSCLC K1 deep learning K1 digital pathology K1 tumor-infiltrating lymphocytes K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/14/12/2974 LK http://dx.doi.org/https://doi.org/10.3390/cancers14122974 DO https://doi.org/10.3390/cancers14122974 SF ELIB - SuUB Bremen
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